phd statistics australia

PhD in Statistics

The PhD program in Statistics at the Research School of Finance, Actuarial Studies and Statistics (RSFAS) equips graduates with knowledge of developments in theoretical and applied statistics. The PhD program draws upon the diverse expertise of academic staff across the University. The School’s PhD candidates will undertake independent research on a specialised research topic.

The program is focused on developing candidates for a career in academia, government or industry. Positions in government or industry may include researchers in scientific, medical or health research organisations; researchers or analysts within government agencies, such as the Australian Bureau of Statistics and Australian Institute of Health and Welfare, or departments of Health, Agriculture, Education, Finance and Treasury; researchers or quantitative data analysts within the corporate sector, including banking, finance and insurance, pharmaceutical, and energy and mining sectors; and management and statistical consultants.

CRICOS #: 048345A

Duration: 2 to 4 years full time (4 to 8 years part time)

Before you submit an application for entry to the program, you should:

• ensure you meet the admission requirements outlined below
• identify potential supervisors – that is, one or two statistics academics at ANU who conduct research in your area of interest.

You can find information on researchers and their research areas in the  ANU researchers database  and on the  RSFAS Statistics faculty  page.

While other ANU schools may recommend contacting potential supervisors before submitting an application,  this is not required  for entry into RSFAS’s PhD programs. Instead, you only need to list the name(s) of potential supervisors in your online application form.

Potential supervisors cannot guarantee entry into the PhD program. Admission will depend on the strength of your application relative to others in the pool.

After you’ve completed the steps above, you can proceed with an  online application .

Application deadlines

The first semester of the ANU academic year starts in February, and the second semester starts in July. While all applications for first semester entry must be submitted  before 31 October,  international applicants wishing to be considered for an  ANU scholarship  should submit their applications  before   31 August .

To be considered for a scholarship, your application must be accompanied by all the supporting documents listed below, including the referee reports. Request for referee reports are triggered and sent to your nominated referees at the time of submission of program application. It is thus important that you submit your application in advance (2-3 weeks) to allow time for your referees to provide their reports prior to the scholarship deadline.

If you’re currently completing an academic degree and haven’t yet received your final results and transcript, you should still submit all available documents before the deadline, and forward remaining results once you receive them. We won’t make a final decision on your application until we’ve received all the required documents.

The admission requirements for the PhD program in Statistics reflect the advanced knowledge that candidates will need to undertake the coursework component of the degree, and the research experience and skills needed to successfully undertake and complete the research thesis.

The minimum qualification requirement for admission to the PhD program in Statistics is:

• an Australian Bachelor degree (or equivalent) with First Class Honours or Second Class Honours Division A in statistics (or a related discipline), or
• another qualification (e.g. a Master degree) with a substantial research thesis component that the RSFAS HDR (higher degree by research) committee is satisfied is equivalent or superior to a degree mentioned in (a), or
• a combination of qualifications and professional experience that the RSFAS HDR committee is satisfied is equivalent or superior to a degree mentioned in (a).

Admission to the PhD program in Statistics is competitive and we can only admit a limited number of applicants each year. Meeting the minimum entry requirements does not guarantee you a place in the program.

If you don’t have sufficient research experience for entry into the PhD program, you might consider applying to the MPhil program . If you’d like to consider this pathway, contact the RSFAS HDR convenor for more information.

English language requirements

All applicants must satisfy the University’s  English language admission requirements . An international applicant who is not a native English speaker may satisfy these requirements by submitting evidence of an  IELTS  overall score of at least 6.5, and with no component less than 6.0, or a paper-based  TOEFL  score of at least 570, with at least 4.5 in the essay component.

Application and supporting documentation

You must submit your application online via the  ANU Application Manager .

In addition to the standard information required in the online application, you must submit the following supporting documents as part of your application:

• a one-page statement of purpose outlining your motivation to undertake a PhD in Statistics at ANU
• a research proposal – see details below, as well as these guidelines on how to  prepare a persuasive research proposal
• copies of written research work, e.g. honours or Master thesis, research project or published works
• official  TOEFL  or  IELTS  results (where applicable) to demonstrate that you satisfy the University’s  English language requirements .

Research proposal

The online application requires you to submit a research proposal. The proposal should set out an original research idea, provide an introduction or background to your research idea, clearly set out the objectives, data required and expected research methods, and explain why the research is important and the contribution it will make to the discipline. Among other things, the research proposal will require you to demonstrate an understanding of the key literature in your chosen topic area. As a guide, you should aim for between 1,500 and 2,000 words, including a list of key references.

The RSFAS HDR committee uses the research proposal as an indicator to assess the quality and originality of your ideas and your skills in critical thinking. Note that the research proposal does not restrict you to this field of study should you be admitted to the PhD program.

Offers of admission

The RSFAS HDR committee will review all complete applications submitted by the relevant deadline.

If your application is short-listed, you may be required to attend an interview (face to face or online).

We may send you an offer of admission if you satisfy the eligibility criteria and your area of interest matches those of RSFAS academics with supervisory capacity. However, since admission is competitive and supervisory capacity is limited, we won’t send any offers of admission  after the relevant application deadline , irrespective of the date when you submit your application.

The PhD program in Statistics consists of two components –  coursework  and  research .

Candidates undertake the research component after successfully completing the required coursework.

PhD coursework component

PhD candidates may be required to complete up to six semester-length courses during the first year of the program. Required coursework must be completed to a satisfactory level for candidates to progress to the research component. The specific coursework requirements will depend on each candidate’s background and will be determined through discussion with the HDR convenor and the chair of the candidate’s supervisory panel.

Compulsory courses for the PhD in Statistics are:

• STAT8027  Statistical Inference
• STAT8056  Advanced Mathematical Statistics
• STAT7040  Statistical Learning
• STAT7018  Stochastic Modelling

Candidates select up to two electives from graduate-level courses in statistics (or suitable advanced courses from other disciplines) in consultation with the chair of the supervisory panel.

PhD research component

Following the successful completion of coursework, PhD candidates undertake specialised research training and independent research.

Research supervisory panel

When a PhD candidate is admitted to the program, a provisional supervisor is appointed. The provisional supervisor has the responsibility of overseeing the candidate’s progress until a supervisory panel is chosen. During the first year, it is important that candidates start developing their research topic ideas by consulting with their provisional supervisor and other academic staff within RSFAS.

Either in a candidate’s first year of study, or soon after completion of their coursework, a supervisory panel will be chosen. The role of the panel is to assist, advise, and provide support and encouragement to the candidate for a timely and successful completion of the research thesis. The HDR convenor will determine the composition of the supervisory panel in consultation with the candidate.

RSFAS statistics seminar program

The RSFAS statistics seminar program consists of regular seminars presented by national and international researchers. PhD candidates are expected to attend and actively participate in the seminars throughout their candidature.

Research integrity training

Within three to six months of enrolment, all PhD candidates must complete the  Research Integrity Training  and pass the exam. Completion of this course and exam is a compulsory milestone for all PhD candidates.

Thesis proposal review

During the second year, candidates must submit a thesis proposal for review to their supervisory panel and present their proposal as a seminar to the School. The purpose of the thesis proposal review is to assess the originality, significance, adequacy and achievability of the candidate’s thesis plan.

The proposal includes a description of the research to be undertaken in the thesis, and a summary of the thesis structure and time plan.

Successful completion of the thesis proposal review (as determined by the Delegated Authority following consultation with the HDR convenor and supervisory panel) is required to continue in the PhD program.

Annual progress review

It is University policy that each candidate’s progress be reviewed periodically. In each year of their program, PhD candidates are required to submit an  annual plan and report  as a basis for periodic progress review. This document provides details on work completed by the candidate since the previous review, current progress, and any problems that may impact their research. It also outlines the coursework and research the candidate intends to undertake in the following 12 months.

Oral presentation

In their final year, candidates are required to give a final  oral presentation  on their research, usually three months before submitting their thesis.

Read more about  research candidate milestones .

Thesis submission and examination

The culmination of the PhD in Statistics is a written thesis which, upon completion, is submitted for examination. The thesis is examined by examiners who are experts in the relevant field.

For more information on the process, visit our page on  submitting a thesis .

For information about scholarships available to HDR candidates, visit our page on  scholarships and fees .

Read details of some of our alumni’s recent  job placements .

See our list of current  Statistics PhD students .

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Submit your application along with your research proposal, CV, academic referee reports, academic transcripts and other supporting documents such as identification and evidence of residency status. Applications are made via the University’s online application portal.

Postgraduate program

The School of Mathematics and Statistics offers Higher Degree by Research (HDR) programs leading to the degrees of Doctor of Philosophy (Science) and Master of Philosophy (Science).

The School also offers the Master of Mathematical Sciences degree, and the units of study STAT5002 and STAT5003 form part of the Master of Information Technology .

NEW in 2024 In 2024 the Master of Data Analytics will be offered for the first time. This fully online course offers a breadth of data analytics knowledge, covering a multitude of qualitative and quantitative data research methods and their applications across industries, including business, health care, architecture, and political science.

For current and newly enrolled postgraduate students

Students should read the "School of Mathematics and Statistics higher degree by research procedures" document.

Please note that HDR candidatures and examinations of theses are managed by the HDR Administration Centre (HDRAC). To find detailed information on important matters such as:

• enrolment, research periods and census dates,
• compulsory HDR units of study: Work, Health and Safety (WHS), Responsible Research Practice, and Human Ethics,
• supervisory arrangements, in particular, requesting to change a supervisor,
• Faculty milestones: research plan, research seminar, first year report, intermediate research presentation, final research report,
• research progress: progress plan, first-year integrity check, annual progress review (APR),
• financial support for travel to attend conferences, workshops, and summer/winter schools through the Postgraduate Research Support Scheme (PRSS),
• travel insurance policy,
• requesting leave of absence or suspension from your research,
• recommencing of your studies after suspension,
• applying for an extension of candidature,
• preparation of your thesis and thesis composition,
• thesis submission procedure,
• examination process and outcomes,
• final thesis lodgement and graduation ceremony.

Degree entry requirements: Doctor of Philosophy (Science)

Applicants for a PhD (Science) program MUST hold a Master's degree or a Bachelor's degree with First Class Honours from the University of Sydney or an equivalent qualification from another university or institution. Further information about applications for admission, applications for scholarship, fees and deadlines for domestic and international students can be found on the Sydney Courses Doctor of Philosophy webpage.

Degree entry requirements: Master of Philosophy (Science)

Applicants for a MPhil (Science) program should hold a Bachelor's degree or an equivalent qualification. Further information about applications for admission, applications for scholarship, fees and deadlines for domestic and international students can be found on the Sydney Courses Master of Philosophy webpage.

Degree entry requirements: Graduate Diploma in Science

The Graduate Diploma in Science provides an alternate entry qualification for PhD. It is identical in content to the Honours (4th year) course and is available to candidates who are not eligible to enrol in that course, usually because of their background in Mathematics or Statistics from outside the University of Sydney. Graduate Diploma is a full fee-paying course. Further information about applications and fees can be found on the Sydney Courses Graduate Diploma in Science webpage.

Scholarships

• domestic students have to submit two separate applications: the PhD/MPhil application and the scholarship application,
• international students only click the relevant box in their PhD/MPhil application.

Study abroad and student exchange

Study abroad and student exchange are the two main program options for students enrolled at international universities and looking to study at the University of Sydney as part of their degree.

• As an exchange student you remain enrolled full time at your home institution while you attend the University of Sydney. While you are in Sydney you will continue to pay your usual tuition fees and other student fees to your home institution. A student from the University of Sydney will do the same in reverse, and the result is an exchange of students and places.
• Study abroad is a separate program from student exchange and involves a student enrolling and paying fees directly to the University of Sydney. There is no reciprocal exchange agreement.

Enquiries about postgraduate study in the School should be directed to the School's Coordinator of Postgraduate Studies Associate Professor Zsuzsanna Dancso by email [email protected] .

Mathematics and Statistics at Sydney

The School of Mathematics and Statistics offers a postgraduate program that is varied and flexible, catering for students of many different backgrounds. The School supports a policy of active research and insists on the highest standards of academic achievement. At present, the School consists of four research groups: Applied Mathematics, Mathematical Statistics, Nonlinear Analysis and Pure Mathematics. The Pure Mathematics group is further divided into three subgroups: algebra, computational algebra, and analysis, geometry & topology.

The School holds regular seminars, workshops and conferences that ensure that its members stay abreast of latest developments. It also supports an active program of long term and short term visits by distinguished international academics.

The School has all the facilities of a well established and progressive teaching and research institution, including a modern library and an extensive computer network of workstations. In addition the network supports a number of high-speed processors and colour graphics systems. A wide variety of software packages is available including Magma (developed in the School), Spida, S-plus, Reduce, Mathematica and Matlab.

The School is proud of its postgraduate students. Our research students are a valuable resource and the School is committed to providing them with excellent research facilities and office space in which to work. Some financial aid is available to students to allow them to attend relevant conferences and workshops. Further support is offered in the form of part-time teaching, assignment and examination marking.

Sydney and the University

Sydney is the oldest and largest city in Australia, and the capital of New South Wales. The city has a population of over four million and operates as an international centre for commerce, finance and the arts for the Asia-Pacific region. Sydney is well known for its great natural scenic beauty, beaches and climate, as well as its high quality of life.

The University of Sydney, established in 1850, is the oldest of all the universities in Australia. It has nine colleges of residence for students and visiting scholars. It has two theatres, an art gallery, several museums and a thriving cultural life in all facets of the arts. For the physically active there is a wide range of sports facilities, including a covered full-size olympic pool, tennis and squash courts, two sporting ovals, gymnasiums, sports instructors and physiotherapists. Every effort is also made to accommodate the physically impaired.

The diversity of courses and degrees the University offers is unequalled in the country. It provides a lively and challenging environment in which to pursue all aspects of academic life.

The Australian academic year begins in late February. It is divided into two semesters with a winter break of about three weeks from mid-June through to mid-July. Coursework programs finish at the end of November.

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The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. The School offers a wide range of subjects to undergraduate and postgraduate students.

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Completing studies in mathematics and statistics will give you powerful tools to understand the world. Consider studies in an undergraduate degree, or at a graduate level to conduct research.

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Faculty of Science researchers conduct diverse and varied research in our state-of-the-art facilities. Our scientists are global leaders in their fields, finding solutions to the biggest issues we face today.

The research within the School of Mathematics and Statistics covers areas of pure and applied mathematics and statistics. A broad school with an international reputation, we have research foci in Algebra, Continuum Modelling, Discrete Mathematics, Geometry and Topology, Operations Research, Mathematical Biology, Mathematical Physics, Stochastic Processes, Statistics, and Data Science.

Explore our research prospectus to find out what projects our leading academics are investigating.

Download the prospectus  (PDF 8.1 MB)

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The School of Mathematics and Statistics has a very active research component. Read more about the research conducted here, and the researchers involved.

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The School of Mathematics and Statistics is associated with several research centres.

Upcoming seminars based on research by staff at the School of Mathematics and Statistics.

Connect with us

If you would like to study with us, or discuss opportunities for collaboration or helping to fund our work, see below for how to get in touch.

Join over 10,000 students at the Faculty of Science with a range of honours, graduate, and research degrees. Visit  Study with us – graduate research for information and enquiries about graduate studies.

Collaborate with us

The Faculty of Science invites interested organisations who would like to explore collaborative research or use our developed technologies. Please get in touch with our Business Development team to discuss.

Darren Coomber Business Development Director, Faculty of Science Innovation & Enterprise | Research, Innovation & Commercialisation Phone: +61 (3) 9035 5024 Email: [email protected]

Our generous benefactors make our work possible. Visit Support Mathematics and Statistics to find out how you can support our leading research and help change the lives of future generations by funding science scholarships.

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Seminar series

View upcoming seminars and subscribe to seminar notifications.

• Algebraic Geometry and K-Theory
• Analysis and PDE
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• Learning and Teaching
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• Mathematical Physics
• Melbourne Centre for Data Science
• Moduli Spaces
• Number Theory
• Operations Research
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• Random Matrix Theory
• Representation Theory
• Stochastic Processes

Our initiatives

School outreach.

We work with primary and secondary schools to run a range of popular mathematics and statistics programs, including incursions, competitions and professional development opportunities for teachers.

Women in Maths and Stats

Every year Women in Mathematics Day is celebrated on the 12th of May. Get to know some of the women in the School of Mathematics and Statistics and learn about their journeys.

• Student Awards

These awards are granted to high-achieving students, in recognition of their academic success and overall performance in specific areas of their course. Students are nominated for these awards by the University teaching staff.

The School hosts many seminars, with speakers ranging from PhD students on the cusp of completing their studies to world-renowned experts in their fields.

Statistical and consulting services

The Statistical Consulting Centre (SCC) provides statistical and consulting services to business, industry, government and the academic world, bringing a wealth of knowledge to real-world issues in a practical, robust manner, as well as courses in statistical methods. The SCC's courses are open to anyone, and participants come from academia, business, industry and government.

Consulting services Statistical courses

International engagement

Melbourne-peking virtual research hub for mathematics and statistics.

This research hub promotes collaboration between The University of Melbourne and Peking University in the fields of teaching and research in mathematics and statistics.

Find out more

Connecting with alumni and students

We are passionate about sustaining a sense of community amongst our students and alumni, served by our student societies and alumni network.

Student societies Alumni information

Support Mathematics and Statistics

Our generous benefactors make it possible for us to recognise the achievements of our talented students, support development of early career researchers and make surprising fundamental research discoveries. This builds the foundation for our future stars, continuing excellence in the mathematical sciences to benefit its broader application in just about every aspect of life. We invite you to be one of our valued philanthropists to support our people and work.

Support our work

The University of Melbourne's School of Mathematics and Statistics is a world-leading school of mathematics and statistics. The School has achieved this status through the high quality of its research and teaching programs. We offer a wide range of subjects to undergraduate and postgraduate students and are involved in all aspects of community life that impacts on the discipline and its applications.

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We are a broad School with an international reputation covering areas of pure and applied mathematics and statistics, read more on what School of Mathematics & Statistics has to offer.

Leadership Team

View our academics who help to lead and coordinate School activities and committees.

Equity and diversity

The School of Mathematics and Statistics is strongly committed to providing support and resources to create an equitable environment for all members of the community, including students at all levels and visitors.

Get in touch with us if you have any general enquires or seeking information and guidance for academics.

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• Using mathematical modelling to fight malaria
• Professor Michael Stumpf awarded prestigious ARC Australian Laureate Fellowship
• OPTIMA ARC Training Centre aims to transform industry through optimisation
• Academics join 2022 Superstars of STEM cohort
• Applications open for undergraduate and postgraduate awards
• Software developed by School of Mathematics and Statistics researcher shortlisted in prestigious Eureka Prizes
• New video series spotlights mathematical biology
• Science academics rank as world-leaders for research citations
• University confers Honorary Doctorate on mathematician
• Translating big data into better health thanks to major grant
• Problem-solving on a global stage: Students excel in international maths competition
• Avoidance, confusion, solitude: whales react to rising noise pollution
• Mathematicians moved by dance, karate and building a better world
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Doctor of Philosophy

A Doctor of Philosophy (PhD) is an internationally recognised graduate research program that will enable you to become an independent researcher. 

With the guidance of an advisory team, you'll undertake a research project, produce an 80,000-word thesis and complete an oral examination.

A PhD takes 3 to 4 years full-time. Under guidance, you'll develop advanced research skills and knowledge in your chosen field.

The thesis is a substantial document that makes an original contribution to your field of research. Your thesis may involve an alternate format .

You'll need a strong academic background and you may need to submit a research proposal and other documents to support your application. About 1,000 PhD candidates join UQ each year researching a wide range of topics.

Research at UQ

UQ is one of Australia’s top research-intensive universities. Our research makes an impact on the world's cultural, environmental, economic and social challenges.

Learn more about UQ's research

Program highlights

• Be inspired and challenged to explore new ideas and develop greater understanding of complex questions with leading researchers.
• Access premier resources including one of Australia’s largest libraries, with more than 2 million physical resources and 116,800+ journal subscriptions.
• Foster and improve your skills through the Career Development Framework, created with industry.
• Learn from researchers whose work addresses national and global cultural, environmental, economic and social challenges.

35 in the world

CWTS Leiden Ranking 2023

51 in the world

Academic Ranking of World Universities 2023

Supervision

You have to find and contact a thesis supervisor before you apply

This supervisor will support, guide and mentor you through your research, and can introduce you to professional networks that will start your career.

Find a supervisor

3-Minute Thesis

The showcase event for research candidates is the 3-Minute Thesis (3MT). 

3MT is held each spring.

Learn more about the 3MT

Career development

UQ offers a range of development opportunities via the Career Development Framework (CDF) to help you develop portable skills for any career or industry.

Learn more about the CDF

Studying at UQ gave me the flexibility to expand my knowledge across different areas of science outside of my chosen specialty. Keeping my scientific and translational skills broad has allowed me to adapt to different environments and opportunities throughout my career.

Discover Postgraduate Urban and Regional Planning

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Entry requirements, gpa equivalent.

Select where you studied and your qualification to see the GPA you need to be considered for this program.

Meeting the GPA requirement doesn’t guarantee admission.

Academic entry requirements

You have to prove you are prepared for PhD study. You do this by showing you:

• have completed some research experience
• have completed an approved university degree  and
• can meet the English language requirements.

Approved degrees

An approved degree needs to be:

• in an area relevant to your proposed PhD project and
• completed no more than 10 years ago.

You need one of the following approved degrees to apply for a PhD:

• Master of Philosophy (or another research master’s degree); or
• Bachelor’s degree from an approved university with at least honours class IIA or equivalent; or
• Coursework master’s degree with an overall grade point average of 5.65 on the 7-point UQ scale which includes relevant research experience, approved by the dean; or
• Postgraduate degree (at least one year full-time or equivalent) with an overall grade point average of 5 on the 7-point UQ scale, together with demonstrated research experience equivalent to honours class IIA will be considered on a case-by-case basis; or
• Bachelor’s degree plus at least 2 years of relevant research experience , including research publications.

Research experience

You'll meet the requirements for admission into a PhD in terms of 'research preparedness' if you can provide evidence that you've planned and executed project work and/or a body of research with some independence.

To demonstrate this, we'll ask you to provide one of the following:

• with completed courses that aim to develop research skills (minimum value of #1 unit e.g. 50 per cent of a #2 unit course), and/or
• the completion of a supervised research project that includes an individually graded written report with a combined minimum course volume equal to #4 units at UQ.
• Scholarly papers involving a substantial contribution as an author, appearing in recognised academic journals or in volumes published by recognised academic publishers.
• Research or technical reports prepared for industry, government or business, which adhere to the broad conventions of academic publishing (i.e. contain an up-to-date review of relevant literature, a description of relevant research methods and an evaluation of results, etc.) and which identify you as a significant contributor.
• A portfolio of published creative work together with published critical discussion of some or all of that work, or of a comparable body of work by others, and which demonstrates your development of a scholarly approach to creative work as research investigation.
• Demonstrable industry or work experience where you can demonstrate that you have planned and executed a project, working with a high level of independence.

Student visas

International students who are accepted into full-time study in the Doctor of Philosophy are eligible to apply for an Australian Student visa (subclass 500).

This program has two CRICOS codes:

• 0100213 – Architecture, creative arts, education, health, information technology, management and commerce, mathematical sciences, social and cultural studies
• 0100214 – Agriculture and environmental studies, dentistry, engineering, human movement, medical studies, natural and physical sciences, pharmacy, psychology, veterinary science

Discuss your proposed project with us to determine which CRICOS code is most relevant for your visa application.

There are a number of requirements you must satisfy before a visa is granted, including the genuine temporary entrant (GTE) requirement.

Learn more about student visas

Additional entry requirements

Many departments will have additional entry requirements and may request documents to support your application, such as a research proposal. You should discuss these additional requirements with your potential thesis supervisor.

Additional application information

Minimum English language proficiency requirements apply, please refer to the English proficiency policy .

English language requirements

There are a few ways you can meet our English language requirements. If you sit a test, the following scores are needed for PhD admission:

Read our English language requirements

Scholarships

There are several types of PhD scholarship:

• tuition fee scholarship : this covers the fees charged by UQ for PhD study
• living stipend scholarship: this is a   fortnightly payment (or stipend) to support your daily expenses
• top-up scholarship: may be provided by external organisations, supervisors, or philanthropic donations. When awarded, they provide an additional payment on top of a living stipend scholarship. They cannot be held without a living stipend scholarship.

Each year, we award more than 600 scholarships to attract and support the highest quality higher degree by research applicants.

View all postgraduate research scholarships

University scholarships

UQ scholarships include:

• Graduate School Scholarships
• Graduate School Tuition Fees Scholarship
• Aboriginal and Torres Strait Islander Scholarships
• Earmarked Scholarships
• The Graduate School Scholarship

Other scholarships

Throughout the year we advertise a range of other research scholarships, including top-up scholarships, travel grants and external scholarships, including:

• Westpac Future Leaders Scholarship

How to apply for a scholarship

You can apply for many scholarships using the same form as your PhD application. External scholarships might have different ways to apply. 

Our Scholarships website explains how to apply for each scholarship. If you are applying for a non-UQ scholarship, outcome dates may vary.

Fees and costs

Tuition fees.

Your fees will vary according to your academic field, study load and whether you study internally or remotely.

Learn more about postgraduate research fees

Research costs

The department you enrol with will meet all necessary costs for your project, including:

• resource and facility costs: at UQ, which may include other organisations in Australia or overseas
• travel costs: to complete fieldwork, collect data, or to visit libraries or other repositories
• coursework costs: for courses studied outside the department
• relevant training: in particular methodologies or techniques.

How to apply

Before you apply, 1. check your eligibility.

Check your eligibility by reviewing the entry requirements for UQ's Higher Degrees by Research. If applying for a scholarship, check the scholarship's eligibility and important dates.

2. Approach a potential supervisor or find a project

You'll either need to find:

• a supervisor in your field who will support your proposed project.  Identify a researcher .
• a project you can join that suits your interests.  See available projects .

If you're choosing a researcher, you'll need to find one with relevant expertise and get agreement to support your PhD and project.

Many departments will require additional information to make a decision around your motivation, understanding, commitment, and financial support required.

They may request documents to support your application, such as a research proposal. You should discuss these additional requirements with your potential thesis supervisor.

3. Gather your documents

You will need to compile the necessary documents. We will accept scanned copies of original documents, but you will have to keep all original documents for the duration of your studies.

Upload all documents as PDFs and name your files like this: LASTNAME_firstname_document-name.pdf

If any of your documents is in a language other than English, you will need to send both the original document and an official translation.

Send the following documents with your application:

An academic CV assists us to determine your readiness to commence a higher degree by research. For the purposes of this application, your academic CV should be current (i.e. no more than 6 months old) and include information under the following headings:

Personal details

• your full name
• your contact details (phone number, email address, city and country of residence)
• nationality
• languages spoken and proficiency level for each
• your ORCID ID or other research output identifier (such as Google Scholar) if you have one (see the ORCID ID and research identifiers information provided by UQ Library).

As the purpose of this academic CV is to determine your academic suitability for a higher degree by research program at UQ and your competitiveness against other applicants, we only require information that is of direct relevance to our decision-making processes. With this in mind, please do not include the following in your academic CV:

• photographs/head shot
• marital status
• driver’s license
• date of birth/age
• hobbies and interests.

Educational qualifications and academic awards

List each of your formal educational qualifications in reverse chronological order (i.e. with the most recent formal educational qualification listed first). For each qualification, include:

• the commencing and end dates (month and year) for the qualification
• the full title of the qualification (e.g. Bachelor of Arts instead of B.A.)
• the institution attended and the enrolling school/administrative unit
• the city and country where the institution is located
• your Grade Point Average (GPA) for the overall qualification
• any academic achievement awards (e.g. Dean’s awards, subject prizes, University medals, thesis prizes etc.) received for the qualification
• if a research thesis was part of the qualification, include the title and word length of your dissertation.

As part of your application, please submit academic transcripts and degree certificates for each educational qualification you list.

Please do not include:

• high school qualifications
• the individual subjects/courses undertaken throughout your qualifications or the grades awarded for these
• training courses/professional development activities not resulting in a formal qualification.

Professional affiliations and memberships

List any professional/disciplinary associations or committees that you a member of and include:

• the commencing and end date (in years) for the affiliation/membership
• the name of the professional association or committee
• your membership type (e.g. student member, affiliate member, full member etc.) or role (e.g. committee member, secretary, president etc.).

Employment history

List each of your previous employment roles in reverse chronological order (i.e. with the most recent/current employment listed first) and include:

• the commencing and end dates (month and year) for the employment
• the title of each position
• the name of the employing organisation, the city, and country where you were based
• your main duties or accountabilities in that role, providing detailed information on any research-related activities
• any achievements during that role that are relevant to your proposed field of research .

Other research experience

List any voluntary, unpaid, or extra-curricular research-related projects or experiences you have undertaken (e.g. summer research projects, internships etc.) and include:

• the commencing and end dates (month and year) of the experience
• the name of the organisation, the city, and country where you were based

Research outputs

In reverse chronological order (i.e. the most recent output first) list your research outputs,  including for example research published or accepted for publication, research reports, and research by creative practice.

If needed, use sub-headings to separate refereed journal articles, published conference proceedings, edited book chapters, books, creative works, industry reports, invited papers, patents, media commentary, conference presentations and posters, invited talks etc. If applicable, use additional sub-headings to indicate if outputs are published , accepted for publication (but not yet in print), or (submitted but) under review .

Do not include any outputs/publications that are ‘in preparation’ .

For all research outputs, include:

• the output/publication reference using an official bibliographical style (such as Turabian/Chicago, APA, Harvard), including listing all authors in the order that they appear in the work with your name in bold
• the Digital Object Identifier (DOI), PubMed Identifier (PMID), International Standard Book Number (ISBN) or URL where applicable
• the standing of the journal or conference and the impact of the work (e.g. impact factors, citations and other metrics indicators)
• relevant indicators of national or international significance
• rejection rates for the outlet etc.
• how much of the original research you were responsible for (i.e. what was your role in the conception and design of the project and how involved were you in the analysis and interpretation of the research data on which the publication is based?)
• the extent to which you authored the paper.

Research grants and relevant awards

Include only those research grants and relevant awards that you have received at the time of making your application (i.e. do not list grants or awards that you applied for and did not receive or are awaiting a decision on). For each research grant/award, include:

• the name of the granting/awarding body and the country in which they are based
• the name of the grant/award
• the year(s) in which the grant was active or the year in which the award was made
• the amount of the research grant/award
• if relevant (e.g. for research grants), the title of your application.

Applicants from creative and professional-based disciplines may also include non-research grants and awards related to their creative or professional practice.

Research achievements relative to opportunity (optional)

In recognition of the diverse personal and professional pathways that applicants have experienced, you are invited to provide information ( maximum 200 words ) to contextualise your research outputs and achievements, relative to the opportunities that you have had to participate in research-related activities.

This section of the CV is optional and should only be included if you believe there are factors relevant to your research achievements that you would like the selection panels to know. Examples of factors include (but are not limited to):

• study/career disruptions due to illness, caregiving, natural disasters etc.
• non-linear academic or career progression, or a change in career direction
• reduced ability to take up research-related opportunities (e.g. attend conferences) due to caregiving responsibilities.

Academic referees

Please provide us with two referees who can comment on your academic work. For each referee, include their:

• honorific and name
• employing organisation and the city and country where they are located
• contact details, including office address, telephone, fax and email (preferably an institutional, rather than private, email address)
• an indication of the capacity in which you know this person (e.g. were they a lecturer or thesis supervisor, an employer, how long you’ve known them etc.). 

If possible, please include at least one:

• senior person (preferably your supervisor or the head of your organisational unit) closely associated with your current work, and
• person who is not a member of your proposed advisory panel/supervisory team.

Formatting and document specifications

We recommend that you use the below formatting settings to improve the readability of your CV:

• margins of at least 1.5 centimetres
• single line spacing
• no smaller than 12 point Times New Roman font (or equivalent)
• left justify text (not full justify)
• include your name and page number on each page
• be consistent in your formatting and spelling throughout
• limit the use of bold, underline, italics, and multiple font types.

Please proofread your CV carefully before uploading it to your application.

Save as a PDF and name your file: LASTNAME_firstname_CV.pdf

There is no page limit to your academic CV – it can be as long as required to include the information requested here.

Please include in your CV all the headings listed above – if you do not have any content to add for a particular heading please list ‘None to date’ under that heading .

An academic CV for employment purposes within Australia would not include the information requested here outlining your three most significant publications or your research achievements relative to opportunity. It would, however, include information about professional and service activities undertaken and may include a summary of your relevant research/teaching interest areas and skill sets – this information is not required in the CV you submit here for application to an HDR program.

This should show all study you have undertaken since secondary school, whether complete or incomplete, including the institution grading scale. The grading scale is often found on the final page or the reverse page; be sure to include all pages.

An academic transcript can also be called an:

• academic record
• diploma supplement
• statement of learning
• record of achievement.

A degree certificate is a legal document, imprinted with a university seal. It should state the name of your qualification and areas of study.

Include all degree certificates (testamurs) for post-secondary study with your application. If you studied in China, you must provide a:

• award certificate and
• graduate statement/certificate.

All applicants have to prove they can meet English language requirements . Any test scores have to be valid at your proposed commencement date.

Include a copy of the information page (with your photo) in your passport. This will verify your identity and ensure we can make offers correctly.

Include the contact details of two referees who will support your application. These referees will need to provide insight into your research experience.

We will contact your referees for a report, but you will need to enter their details into the application form.

Other documentation, originals or certified copies, may be required depending on your individual circumstances, for example:

• evidence of change of name
• proof of citizenship, if you are not a citizen of Australia or New Zealand by birth
• evidence of your Aboriginal and/or Torres Strait Islander status
• previous research program information .

If you don't provide us with all documents it will take us longer to process your application. Your start date might then be delayed, or you might miss an admission or scholarship deadline. 

4. Apply online

Once you have prepared your application and contacted a potential supervisor, use the online application form to apply. Your application can only be assessed once your referees have responded to us, and all outstanding documents and school/institute endorsements have been received.

Important dates

The academic year for research students is divided into four research quarters (RQ).

Candidates applying for a Student Visa or UQ scholarship may need to apply earlier. Make sure you check  scholarship round application deadlines  and outcome dates before applying.

The agreed start date will be included on your Confirmation of Enrolment.

Find out more about research quarter dates

The academic year for research students is divided into four research quarters (RQ). You can start a PhD in any quarter, as long as the Census Date hasn't passed.

Candidates applying for a UQ scholarship may need to apply earlier. Make sure you check scholarship round application deadlines and outcome dates before applying.

The agreed start date will be included on your offer of admission.

Aboriginal and Torres Strait Islander applicants

For support with applying – or if you have any questions about university life – get in touch with our Aboriginal and Torres Strait Islander Studies Unit.

Contact the ATSIS Unit

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ANU Postgraduate research

Research is at the core of everything we do. It informs the content of our degrees, influences public policy and solves some of our region’s greatest challenges.

ANU postgraduate research

Find a supervisor

Scholarships & Fees

How to apply

Change the conversation

Studying an advanced, research-focused Doctor of Philosophy (PhD) or Master of Philosophy (MPhil) degree at The Australian National University (ANU) is an opportunity to make a substantial and original contribution to your discipline or area of professional practice.

We’ll automatically consider you for a scholarship when we receive your application.

Research areas

Our research priorities reflect the challenges facing the world today.

ANU researchers are currently exploring a range of disciplines and study areas .

university in the world

QS World University Rankings 2024

Nobel laureates among ANU staff & alumni

in Australia in 13 disciplines

QS World University Rankings by Subject 2023

for student-teacher ratio and staff qualifications

Good Universities Guide 2023

Before you apply

Find a potential supervisor and explore our colleges’ research opportunities. Some colleges have different application requirements – so make sure you’re aware of and follow these before you apply.

1. Find a supervisor

Discover potential supervisors. Explore their research and published works and find their contact details.

Search supervisors

2. ANU college research opportunities

Our colleges can provide you with information about research areas, supervisors and groups, as well as who to contact.

NOTE: More than one college can offer supervision in a particular study area.

• ANU College of Arts & Social Sciences
• ANU College of Asia & the Pacific
• ANU College of Business & Economics
• ANU College of Engineering, Computing & Cybernetics
• ANU College of Health & Medicine
• ANU College of Law
• ANU College of Science

3. Explore college application requirements

If you have found a supervisor you would like to work with and the college that offers this supervision, you will need to find out if there are any pre-application steps that your college would like you to take.

Most colleges would like you to find and secure the support of a potential supervisor before you complete your application. For example, the ANU College of Business & Economics has different arrangements for setting up supervision, so please check in with them before applying.

Some colleges will ask you to send a short description of your proposed area of research as an expression of interest and a summary of your academic qualifications, including grades, to them first.

Visit the ANU college research pages for pre-application advice (see the links under 'ANU colleges’ content above).

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Applying to ANU

You can apply at any time of the year – but if you would like to be considered for a scholarship, you will need to send your application within the scholarship’s application deadline.

Scholarship applicants

Your referees should send their reports before your scholarship’s deadline. Give them as much time as possible by completing your ANU application 2–3 weeks earlier than the scholarship’s deadline. We’ll contact your referees when we get your application.

Application requirements

Your application to study at ANU must meet the following requirements.

1. Minimum admission requirements

Explore our minimum admission requirements.

Requirements for admission to a Doctor of Philosophy degree

• An Australian bachelor’s degree with at least second-class honours (Upper first-class honours may be required by some programs) or the international equivalent, or
• Another degree with a significant research/thesis component, or
• A combination of qualifications, research publications and/or professional experience related to your field of study

Requirements for admission to a Master of Philosophy degree

• An Australian bachelor’s degree or higher, with an overall grade of distinction or higher, or the international equivalent, or
• Another equivalent degree, or
• A combination of qualifications, research publications and/or professional experience that are related to your field of study

2. English language requirements

You must meet our English language requirements to be eligible for admission to ANU. While you can apply without having met them, you will need to show that you do when you get a study offer from us.

Unsure whether you can meet the English language requirements? Contact your research school or the Graduate Research Office before you send your application.

Learn more about ANU English language requirements

3. Research proposal

Your draft research proposal only needs to be short. Check in with your potential supervisor to clarify their expectations for this proposal before you send it in with your application.

Your proposal should present your idea or question in your discipline area clearly. Consider it a statement about the basis of the research you’d like to do.

Your research proposal should:

• establish the relevance of your idea
• show gaps in your field – and how your research would address these
• include how you would go about your research project – your approach, methodologies and resources.

You will be able to change the proposal once you have enrolled in your program.

Learn about research proposals

4. Referees

Referee reports are mandatory when applying for admission to a HDR Program. At least 2 referees reports are required to commence assessment of the application. Academic referees, who are able to comment on the applicant’s ability to undertake the program, are preferred, however, professional references can also be used. The University may request additional referee reports during the assessment of the application.

Ensure their contact details are correct; we will email them a report to complete from within the application portal as soon as we have received your application.

If your referee is unable to access our system-generated referee report, they can contact the Admissions team and ask for another version of the form.

Your referees must send their completed reports confidentially and directly to the University rather than to you.

Reference documents:

• Research Application Referee Report (DOCX, 85.97 KB)

5. Supporting documentation

Upload clear, colour copies of your academic transcripts and graduation certificates with your application. You do not need to certify these documents, but they must be original copies. We will verify their authenticity.

If your academic documents were originally given to you in a language other than English, we will need official copies of the document in that language and original translations for verification purposes.

6. Incomplete qualifications

You can apply to ANU before you complete your current degree if you are in your final year. Advise the Graduate Research office your expected completion date via your application and supply a copy of the qualification when we make you an offer.

For more information, refer to ‘Supporting documentation’.

If you have the approval of a college and a potential supervisor, you can apply for admission to ANU. Without this endorsement, though, we might not be able to assess your application.

Choose the program you want to study from the Program & Courses catalogue

On the program’s page, click 'apply’ to open the application portal

Complete your application

Receiving an offer from ANU

After we assess your application, we will contact you via email about the outcome within 6–8 weeks (about 2 months). This could take longer if we're also considering you for a scholarship.

If you do not hear from ANU within two months, contact your research school or email the Graduate Research Office.

• Contact Graduate Research Office

Related links

Statistics PhD students

Ahmed Faisal Haris

Houren hong.

Mr Abhinav Mehta

Xu (nickson) ning, piumi perera.

Hannah Gallant

Zhi yang tho, yuan (aqua) zhu, ioanna (anna) andrianatou, nelson chua.

Santiago Marin Ardila

Mitchell prevett, pui kuen leung, recent statistics phd alumni.

Emma Ai – PhD Awarded: 2020     Thesis: Numerical solutions of SPDEs with boundary noise

Yang Yang – PhD Awarded: 2020     Thesis: Modeling and forecasting functional time series

Lingyu He – PhD Awarded: 2020     Thesis: Data-adaptive Principal Component Analysis for High Dimensional Data

Yuan Gao – PhD Awarded: 2020     Thesis: Modeling and Forecasting High-dimensional Functional Data

Tim McLennan-Smith – PhD Awarded: 2019     Thesis: On the Simulation of Stochastic Processes and Noise Driven Synchronisation Models

Jiali Wang – PhD Awarded: 2018     Thesis: Recent Developments of Copula-based Models to Handle Missing Data of Mixed-type in Multivariate Analysis

Peter Cayton – PhD Awarded: 2018     Thesis: Essays in Non-Gaussian Time Series Analysis

Wanbin Wang – PhD Awarded: 2018     Thesis: Essays on Financial Applications of Nonlinear Models

Le Chang – PhD Awarded: 2018     Thesis: Essays on Robust Model Selection and Model Averaging for Linear Models

Simon Knapp – PhD Awarded: 2017     Thesis: Land Use Mapping Using Constrained Monte Carlo Methods

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Postgraduate research

Discover information for all postgraduate researchers including resources, guides and key requirements.

Postgraduate research students play an important and valued role in our school. Find out more about our postgraduate student community below.

Information for new students

Current research students

Postgraduate events

Postgraduate student awards and accolades

Information about research theses

Each August, the school showcases its achievements in research through the postgraduate conference. All postgraduate students are invited to present their research and practice research communication skills.

POSTGRADUATE RESEARCH CONFERENCE

Past research students

Michael Tallis PhD Research Travel Award

PhD projects

Entry requirements

Obtaining funding

Application & Fees

Applied statistics research

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Members of the Applied statistics research area develop, apply and evaluate statistical solutions in a broad number of areas including sport, medicine, IT, water, food and manufacturing industries.

The application of statistics is pervasive in almost all human and scientific endeavours. It is therefore of vital importance that all people who wish to further their knowledge of statistical methodology be able to combine a strong theoretical foundation with practical applications of current techniques employed by professionals in industry, research and teaching. We aim to help people learn and apply statistical modelling to physical, biological, sporting and economic phenomena. This will enable them to be contribute to applied research and development in industry, commerce and research. Particular emphasis is placed on the acquisition and analysis of data using computer-based technology. Our expertise includes all facets of data analysis, design and analysis of experiments, forecasting, quality control, quality assurance, capability analysis, statistical inference, game theory applications and queuing theory. We also have a strong focus on promoting the scholarship of learning and teaching in statistics education. We are dedicated to building the statistical capacity of our graduates, industry partners and wider community.

Dr Mali Abdollahian [email protected]

Research activities

Our problem-solving approach contributes to innovative and outcome-driven research in a broad ranges of areas across academia, government and industry.

Grants (2014 -)

• Virtualising Science: Using an Online World to Immerse Junior Secondary School Students in Real Applications of Maths and Science Curriculum. Funded by: DIICCSRTE Office for Learning and Teaching (OLT) Grants 2014 from (2014 to 2016)
• Near Miss Grant (RMIT University, P. Zeephongsekul, $25,000 , 2015).
• Robust Algorithms for an Open Source Software Reliability Tool (NSF, Principal Investigator Dr. L. Fiondella, $124,999, 2015 – 2017).
• New statistical approaches for analysing foodwebs and species distributions. (ARC Discovery, Chief Investigators Lewi Stone, Ascelin Gordon, Yan Wang, $295,900 ,2015 – 2017, $295,900)

Industry research projects

• Badminton Australia. Prediction of Commonwealth and Olympic Games qualification and athlete performance analytics.
• Victorian Institute of Sport (VIS) and Melbourne Vixens. Ball tracking, game analysis and data collection for performance analytics for the Vixens. Statistical analysis of Women’s Olympic Pistol Shooting and ongoing collaboration with Wheelchair Rugby Australia.
• Australian Institute of Sport (AIS)
• AFL. Various projects investigating the impact of injury on interchange and match outcomes and travel and fatigue effects
• ProWess Sports: Beginning in 2007, RMIT and Prowess have undertaken a number of collaborative projects, including Phases of play, interchange analysis and link plays.
• Ulin Hospital (RSUD Ulin) Banjarmasin Indonesia and Department of Mathematics Lambung Mangkurat University, Banjararu, Indonesia. Developing strategies for reducing new borne mortality rate in Indonesia.
• City West Water Corporation. The proposal and development the methodologies for designing economical sampling plans to assist City West Water’s annual sampling strategy to comply with the Australian Standard.
• Fonterra New Zealand. Designing multivariate quality control procedures and optimum regime for the calibration of their lab machines.
• St. Vincent’s Hospital ICU department in Melbourne, Australia. Monitoring patient’s progress after cardiac surgery through multivariate control procedures.
• Australian Pine Timber industry. Controlling the inaccuracies of the timber grading and controlling quality of timber from one batch to another.
• Heinz Food Processing Company. Designing an optimal quality assurance scheme for sampling inspection and quality auditing using the national quality assurance guidelines.
• National Electrical Contractors Association. Survey and analysis work to determine the health and safety of workers.
• Electrical Regulatory Authorities Council. Development and assessment of an online tool used to determine the risk of products for the consumer market.
• VTAC. Statistical analysis and advice for a report assessing the value of moving VTAC to improve accessibility to the wider community.
• Barwon Health, Geelong Hospital. Investigating predictors of post-operative survival in elderly populations.
• National Hospital of Pediatrics, Hanoi, Vietnam. Establishing reference intervals for the diagnosis of neuroblastoma in Vietnamese children. This work has been published in the journal Clinical Biochemistry.
• Victorian Association for the Care and Resettlement of Offenders (VACRO). Analysis of internal survey data used to guide strategic decision making.
• Victorian Legal Aid. Analysis of survey data and general statistical advice for internal reporting purposes.

Academic staff

• Dr Mali Abdollahian
• Dr Arathi Akala
• Dr James Baglin
• Associate Professor Cliff Da Costa
• Dr Anil Dolgun
• Emeritus Professor Kathy Horadam
• Dr Stelios Georgiou
• Dr Andrew Stacey
• Dr Stella Stylianou
• Dr Yan Wang

Current HDR candidates (2014-)

• Dewi Anggraini - Development of Multivariate Quality Control and Assurance Models for Antenatal Care Service in Indonesia (PhD).
• Aaron Corris - Development and Evaluation of Statistical Models to Predict Match Results (Masters by Research).
• Michael De Lorenzo - Evaluating the Importance of Games in Professional Sports and the Effect on Team and Player Performance (PhD).
• Nadeera Gunaratne – Multivariate Process Variability Monitoring (PhD)
• Jason Hunt - Linking spatial Movement with In-Play Data (PhD).
• Gabriel Deng Makuei – Performance Evaluation of the Procedures Aimed at Reducing maternal Mortality Rate in South Sudan (PhD).
• Minh Huynh - Bringing the Island to schools Improving student attitudes towards statistics (PhD).
• Bradley O’Bree - Mathematical Modelling in Professional Golf and Ice Hockey Prediction of Player Performance and Simulation of Tournament and Match Outcomes (PhD).
• Osama Alamri-A Service Level Agreement Based on Multiple Customers in a Supply Chain (PhD).
• Jong Ho Park - Basketball prediction modelling (PhD).
• Vira Koshkina – Species distribution modelling (PhD).

Past HDR candidates (2013- )

• Nipun Agarwal- Psychological Pricing in Mergers and Acquisitions, 2013 (Masters by Research).
• James Baglin - Evaluating Learning Theory-based Methods for Improving the Learning Outcomes of Introductory Statistics Courses, 2014 (PhD).
• Raymond Bedford – From Seabed to Management – a Whole System Model, 2015 (PhD).
• Chathuri L. Jayasinghe - Nonparametric Approach to Reliability and its Applications, 2013 (PhD).
• Michelle Viney - Prediction of In-Play Tennis, 2015, (PhD).
• Ummul Fahri Abdul Rauf – A Copula-based Analysis of Flood Phenomena in Victoria, Australia, 2014 (PhD).
• Xu Zhang – Game Theoretical Approach in Supply Chain Management, 2014 (PhD).

Collaborators and External Members

• Dr. Lance Fiondella, University of Massachusetts, Dartmouth, USA.

Undertake a research degree

Prospective Higher Degree by Research applicants should contact one of our academic or post-doc members to discuss supervision of a research project.

Related research degrees

• PhD (Mathematical Sciences)
• Master of Science (Mathematical Sciences)

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

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Statistics and Data Science

Focus Bayesian computing Scalable methodology Data science Health statistics Population statistics Statistical modelling Group leaders Prof. James Brown Prof. Matt Wand

The UTS Statistics and Data Science group has interests that range from the development of fundamental statistical methods to the application of statistics in such areas as population health, forensics, and law. Much of this work is funded through grants from the Australian Research Council, as well as as well as through Australia's National Health and Medical Research Council (NHMRC) project grants, the Bill and Melinda Gates Foundation, and cooperation with Australian government bodies such as the Australian Bureau of Statistics. A major part of our work involves the development of new methodology to investigate complex problems in the age of Big Data. Specific sub-areas of statistical research include:

• Methodology for Big Data - development of scalable statistical methodology for analysis of high volume/velocity data involving machine learning paradigms; 
• Health related statistics - applications of statistical modelling within population health, sports science, and clinical trials;
• Statistical data science  - applications of machine learning to generate quantitative information for legal scholars, data wrangling and analysis of medical data; 
• Official statistics - use of government surveys combined with census and alternative data sources to produce key population statistics;
• Modelling and simulation of stochastic processes - development of methodology for the modelling and simulation of natural phenomena including applications in biology.

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

• Selected Higher Education Statistics – 2022 Student data
• Selected Higher Education Statistics – 2021 Student data
• Selected Higher Education Statistics – 2020 Student data
• Selected Higher Education Statistics – 2019 Student data
• Selected Higher Education Statistics – 2018 Student data
• Selected Higher Education Statistics – 2017 Student data
• Selected Higher Education Statistics – 2016 Student data
• Selected Higher Education Statistics – 2015 Student data
• Selected Higher Education Statistics – 2014 Student Data
• Selected Higher Education Statistics – 2013 Student Data
• Selected Higher Education Statistics – 2012 Student Data
• Selected Higher Education Statistics – 2011 Student Data
• Selected Higher Education Statistics – 2010 Student Data
• Selected Higher Education Statistics – 2009 Student Data
• Selected Higher Education Statistics – 2008 Student Data
• Selected Higher Education Statistics – 2007 Student Data
• Selected Higher Education Statistics – 2006 Student Data
• Selected Higher Education Statistics – 2005 Student Data
• Selected Higher Education Statistics – 2004 Student Data
• Selected Higher Education Statistics – Time Series Data
• Selected Higher Education Statistics – 2023 Staff data
• Selected Higher Education Statistics – 2022 Staff data
• Selected Higher Education Statistics – 2021 Staff data
• Selected Higher Education Statistics – 2020 Staff data
• Selected Higher Education Statistics – 2019 Staff data
• Selected Higher Education Statistics – 2018 Staff data
• Selected Higher Education Statistics – 2017 Staff data
• Selected Higher Education Statistics – 2016 Staff data
• Selected Higher Education Statistics – 2015 Staff data
• Selected Higher Education Statistics - 2014 Staff data
• Selected Higher Education Statistics – 2013 Staff Data
• Selected Higher Education Statistics – 2012 Staff Data
• Selected Higher Education Statistics – 2011 Staff Data
• Selected Higher Education Statistics – 2010 Staff Data
• Selected Higher Education Statistics – 2009 Staff Data
• Selected Higher Education Statistics – 2008 Staff Data
• Selected Higher Education Statistics – 1997 to 2007 Staff Data
• Data Requests, Data Protocols and Data Privacy and Visual Analytics Guide
• uCube – Higher Education Data Cube
• Undergraduate Applications Offers and Acceptances Publications
• Upholding Quality - Quality Indicators for Learning and Teaching
• Completion Rates - Cohort Analyses

Higher Education Statistics

The Department of Education Research Division Analysis and Data Division is responsible for the collection and dissemination of statistics relating to the provision of higher education at all Australian institutions.

A comprehensive set of statistics is managed in the Higher Education Statistics Collection.

This data includes:

• Courses provided by higher education institutions
• Numbers and characteristics of students undertaking courses
• Student load
• Completion of units of study and courses
• Student liability status
• Numbers and characteristics of staff in higher education institutions
• Income and expenditure for higher education institutions
• Research activity
• Undergraduate applications, offers and acceptances.

Distribution and use of data

Data in the Higher Education Statistics Collection is disseminated through:

• Statistics publications
• Tabulations
• Analyses prepared for clients

The data are widely used by:

• Federal and State Government Departments
• Higher education institutions
• Peak bodies
• Researchers
• Individuals in the community

Available Data

The department publishes a range of outputs for the following key data collections:

Postgraduate Research Scholarship in Mathematics and Statistics

A postgraduate research scholarship

University of Sydney RTP rate stipend for a Masters by Research or PhD student to conduct research in mathematics (applied/pure) and statistics.

How to apply

Research students within the Faculty of Science applying for the Research Training Program (RTP) scholarship will automatically be considered for this scholarship. A separate application is not required.

To be considered for this scholarship, you must have applied for the RTP Scholarship ( domestic / international ) for the relevant research period.

The Scholarship will provide a stipend allowance equivalent to the University of Sydney Research Training Program (RTP) Stipend rate (indexed on 1 January each year). The duration of the scholarship is as follows, subject to satisfactory academic performance:

 I.            up to 1.75 years for a successful Masters by Research,

 II.            up to 3 years for a successful PhD recipient.

The PhD recipient encouraged to complete their PhD in 3 years but may apply for an extension of the primary stipend allowance for up to 6 months.

Student Services Amenities fee (SSAF) are also provided for a successful applicant. The duration of the scholarship is as follows, subject to satisfactory academic performance:

I.            up to seven research periods for a successful Masters by Research recipient,

II.            up to twelve research periods for a successful PhD recipient with a possible extension for up to two research periods. 

Who's eligible

• have an unconditional offer of admission or be enrolled in a full-time Masters by Research or PhD at the Faculty of Science
• be willing to conduct research with the School of Mathematics and Statistics
• apply and be considered for the Research Training Program (RTP) Stipend Scholarships
• not be in receipt of an RTP, Universty of Sydney Postgraduate Award (UPA) or equivalent primary scholarship.

This Scholarship has been established to provide financial assistance to Masters by Research or PhD students who are undertaking research in mathematics (applied/pure) and statistics.

Terms and conditions

1. Background

a. This Scholarship has been established to provide financial assistance to Masters by Research or PhD students who are undertaking research in mathematics (applied/pure) and statistics.

b. This Scholarship is funded by the School of Mathematics and Statistics.

2. Eligibility

a. The Scholarship is offered subject to the candidate having an unconditional offer of admission or being currently enrolled to study full-time in a Masters by Research or PhD within the School of Mathematics and Statistics, Faculty of Science at the University of Sydney.

b. Candidate must be willing to conduct research with the School of Mathematics and Statistics.

c. Candidate must apply and be considered for the Research Training Program (RTP) Stipend Scholarships.

d. Candidate cannot be in receipt of an RTP, University of Sydney Postgraduate Award (UPA) or equivalent primary scholarship.

3. Selection Criteria

a. The successful applicant will be awarded the Scholarship on the basis of:

I. academic merit, II. area of study and/or research proposal, III. curriculum vitae, IV. previous research experience, which includes relevant professional experience, scholarly publications and other relevant research output.

b. The successful applicant will be awarded the Scholarship on the nomination of the Associate Head Research Education and the Deputy Associated Head Research Education in the School of Mathematics and Statistics.

a. The Scholarship will provide a stipend allowance equivalent to the University of Sydney Research Training Program (RTP) Stipend rate (indexed on 1 January each year). The duration of the scholarship is as follows, subject to satisfactory academic performance:

I. up to 1.75 years for a successful Masters by Research, II. up to 3 years for a successful PhD recipient.

b. The PhD recipient encouraged to complete their PhD in 3 years but may apply for an extension of the primary stipend allowance for up to 6 months.

c. Student Services Amenities fee (SSAF) are also provided for a successful applicant. The duration of the scholarship is as follows, subject to satisfactory academic performance:

I. up to seven research periods for a successful Masters by Research recipient, II. up to twelve research periods for a successful PhD recipient with a possible extension for up to two research periods.

d. Periods of study already undertaken towards the degree prior to the commencement of the Scholarship will be deducted from the maximum duration of the Scholarship excluding the potential extension period.

e. The Scholarship is for commencement in the relevant research period in which it is offered and cannot be deferred or transferred to another area of research without prior approval.

f. No other amount is payable.

g. The Scholarship will be offered subject to the availability of funding.

5. Eligibility for Progression

a. Progression is subject to attending and passing the annual progress evaluation.

6. Leave Arrangements

a. The Scholarship recipient receives up to 20 working days recreation leave each year of the Scholarship and this may be accrued. However, the student will forfeit any unused leave remaining when the Scholarship is terminated or complete. Recreation leave does not attract a leave loading and the supervisor's agreement must be obtained before leave is taken.

b. The Scholarship recipient may take up to 10 working days sick leave each year of the Scholarship and this may be accrued over the tenure of the Scholarship. Students with family responsibilities, caring for sick children or relatives, or experiencing domestic violence, may convert up to five days of their annual sick leave entitlement to carer’s leave on presentation of medical certificate(s). Students taking sick leave must inform their supervisor as soon as practicable.

7. Research Overseas

a. The Scholarship recipient may not normally conduct research overseas within the first six months of award.

b. The Scholarship holder may conduct up to 12 months of their research outside Australia. Approval must be sought from the student's supervisor, Head of School and the Faculty via application to the Higher Degree by Research Administration Centre (HDRAC) and will only be granted if the research is essential for completion of the degree.

c. All periods of overseas research are cumulative and will be counted towards a student's candidature. Students must remain enrolled full-time at the University and receive approval to count time away.

8. Suspension

a. The Scholarship recipient cannot suspend their award within their first six months of study, unless a legislative provision applies.

b. The Scholarship recipient may apply for up to 12 months suspension of the Scholarship for any reason during the tenure of the Scholarship. Periods of Scholarship suspension are cumulative and failure to resume study after suspension will result in the award being terminated. Approval must be sought from the student's supervisor, Head of School and the Faculty via application to the Higher Degree by Research Administration Centre (HDRAC). Periods of study towards the degree during suspension of the Scholarship will be deducted from the maximum tenure of the Scholarship.

9. Changes in Enrolment

a. The Scholarship recipient must notify HDRAC and their supervisor promptly of any planned changes to their enrolment including but not limited to: attendance pattern, suspension, leave of absence, withdrawal, course transfer, and candidature upgrade or downgrade. If the award holder does not provide notice of the changes identified above, the University may require repayment of any overpaid stipend and/or tuition fees.

10. Termination

a. The Scholarship will be terminated:

I. on resignation or withdrawal of the recipient from their research degree, II. upon submission of the thesis or at the end of the award, III. if the recipient ceases to be a full-time student and prior approval has not been obtained to hold the Scholarship on a part-time basis, IV. upon the recipient having completed the maximum candidature for their degree as per the University of Sydney (Higher Degree by Research) Rule 2011 Policy, V. if the recipient receives an alternative primary stipend and/or tuition fee scholarship. In such circumstances this Scholarship will be terminated in favour of the alternative stipend and/or tuition fee scholarship where it is of higher value, VI. if the recipient does not resume study at the end of a period of approved leave, or VII. if the recipient ceases to meet the eligibility requirements specified for this Scholarship, (other than during a period in which the Scholarship has been suspended or during a period of approved leave).

b. The Scholarship may also be terminated by the University before this time if, in the opinion of the University:

I. the course of study is not being carried out with competence and diligence or in accordance with the terms of this offer, II. the student fails to maintain satisfactory progress, or III. the student has committed misconduct or other inappropriate conduct.

c. The Scholarship will be suspended throughout the duration of any enquiry/appeal process.

d. Once the Scholarship has been terminated, it will not be reinstated unless due to University error.

11. Misconduct

a. Where during the Scholarship a student engages in misconduct, or other inappropriate conduct (either during the Scholarship or in connection with the student’s application and eligibility for the Scholarship), which in the opinion of the University warrants recovery of funds provided, the University may require the student to repay payments made in connection with the Scholarship. Examples of such conduct include and without limitation; academic dishonesty, research misconduct within the meaning of the Research Code of Conduct 2023 (for example, plagiarism in proposing, carrying out or reporting the results of research, or failure to declare or manage a serious conflict of interests), breach of the Student Charter 2020 and misrepresentation in the application materials or other documentation associated with the Scholarship.

b. The University may require such repayment at any time during or after the Scholarship period. In addition, by accepting this Scholarship, the student consents to all aspects of any investigation into misconduct in connection with this Scholarship being disclosed by the University to the funding body and/or any relevant professional body.  

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Centre for Epidemiology and Biostatistics

We are passionate about training and mentoring the next generation of researchers. We offer PhD and MPhil degrees.

COVID-19 Research

Resources and news.

Our research uses advanced methods in epidemiology, biostatistics, health humanities and social sciences, and our findings seek to significantly influence global public health policy. We share this research and contribute to the community using a range of knowledge transfer activities.

see all the latest resources and research news into COVID-19

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Research Themes

Our research is encompassed within several broad research themes. This multidisciplinary approach aims to increase the opportunities for researchers to collaborate on projects that span common themes.

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An overview of the research interests within the school and the project work being carried out by our research groups.

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We are passionate about the training and mentoring of the next generation of scientists. A range of research degrees are offered at Master and Doctorate level.

Whether you're just starting out or a seasoned professional, we have something to suit your needs and schedule. With the highest teaching evaluations in the Faculty of Medicine, Dentistry and Health Sciences we are proud to offer our coursework and short course programs to our leaders and future leaders.

Our degrees, taught by our world-renowned academics are the perfect way to begin in population and global health.

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Our short courses are designed to keep you up to date with the latest research and information.

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Single subject study can be a stepping-stone to further qualifications or an upskilling opportunity. Develop knowledge and skills without the commitment of a full course from the School offering of over 50 subjects.

Scholarships, Bursaries and Prizes

The Faculty of Medicine, Dentistry and Health Sciences offer an extensive range of scholarships and bursaries to undergraduate and postgraduate coursework students.

Student Placements

Work-integrated learning, including placement, provides career-defining experiences for students and is integral to many programs within the Faculty of Medicine, Dentistry and Health Sciences.

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Graduate Research at MSPGH

Interested in completing a PhD or Master of Research at the Melbourne School of Population and Global Health (MSPGH)? Already commenced and looking for help? Visit the Faculty of Medicine, Dentistry and Health Sciences (MDHS) to learn about graduate research degrees, including guides and resources to support students and supervisors from commencement through to completion. Explore information on the application process, scholarships, visas, progress, PhD programs, policies & procedures, professional development and where to go when you need help.

Explore Graduate Research

Thank you for your interest in engaging with the Melbourne School of Population and Global Health. As a friend and supporter of the school, you can support ground-breaking research, help create scholarships for our students, build important partnerships and promote community engagement.

Our pride in our graduates and in their lives spent improving the health and well-being of others is matched by our desire to maintain strong connections with all who have passed through our doors.

We are grateful to our alumni and donors for their help creating scholarships, supporting ground-breaking research, building important partnerships and assisting community engagement.

We recognise partnerships and collaborations are an integral facet of our development and a major strength of the school.

The School aims to be of value to the community through its teaching, research and program implementation.

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Students can undertake a Doctor of Philosophy (PhD) or a Masters of Philosophy (MPhil) through RSPH in research areas of anthropology, biostatistics, demography, epidemiology, sociology, or any combination of these.

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A Summer Research Scholarship at ANU is an exceptional opportunity for undergraduate students, providing insight into what studying for an Honours or a graduate research degree is all about.